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We provide a primer on the role of debt modelling in informing the sovereign debt issuance strategy and discuss how specific challenges faced by debt managers can influence model design decisions. These insights are supported by our experiences using the Canadian Debt Strategy Model to guide policy decisions.

We demonstrate the ability of reinforcement learning techniques to estimate the best-response functions of banks participating in high-value payments systems—a real-world strategic game of incomplete information.

In the year and a half leading up to mid-2003, both employment and labour force participation increased at an unusually rapid pace compared to domestic economic activity. Gains in employment were unusually large, relative to output growth, compared to gains in total hours worked. This is explained by a faster rate of increase in the participation rate of the 55 and older age group, many of whom opted for part-time employment. This shift in the composition of employment contributed to a reduction in the length of the average workweek in 2002. As a result, labour input progressed at a rate that was markedly slower than for employment and more in line with its historical relationship to output growth. The authors anticipate that the 55 and older age group will continue to participate strongly in the labour force, but that as the economy rebounds and uncertainty diminishes, the cyclical component in the growth of part-time work should diminish and that of full-time employment increase. Employment growth should moderate in relation to output growth and there may be a cyclical rebound in labour productivity as total hours worked increases during the initial recovery in output growth.

This paper studies the testable implication of players’ collusive or cooperative behaviour in a binary choice game with complete information. I illustrate the implementation of this test by revisiting the entry game between Walmart and Kmart.

Models with default options are hard to solve. We propose an extension of the endogenous grid method that solves default risk models more efficiently and accurately.

The International Monetary Fund (IMF, or the Fund) has undergone a number of significant policy changes and reforms in the wake of the global financial crisis. Most notably, in December 2015, the United States approved long-delayed legislation to increase the representation of developing countries in the Fund’s governance structure.

This paper analyzes AI adoption among Canadian firms using December 2025 Business Leaders’ Pulse data. It finds that while personal use is widespread, operational adoption remains limited. Firms expect modest positive impacts on capital spending and small net negative effects on employment over the next three years.

The liquidity management strategies of fund managers, supported by policy measures, have helped bond funds limit the increase in redemptions caused by COVID 19. This avoided further deterioration in liquidity in bond markets. Nevertheless, these funds were left with lower cash buffers, which could make them more vulnerable to additional large redemptions.

This paper explains the nature of interest rates in the U.S. federal funds market after the 2007-09 financial crisis. We build a model of the over-the-counter lending market that incorporates new aspects of the financial system: abundance of liquidity, different regulatory standards for banks, and arbitrage opportunities created by limited access to the facility granting interest on excess reserves.

Household savings in Canada have increased significantly since 2019, especially among homeowners without a mortgage. We assess how savings buffers can mitigate households’ financial risk in relation to asset repricing, mortgage payment renewal and unemployment.